Recent developments in computing and software architectures have resulted in huge potential for accelerating applications used in experimental particle physics. This is an ideal time to investigate how a significant performance boost can be achieved by the effective use of many-core and GPU architectures in a distributed computing environment, as well as utilising emerging I/O and storage technologies. This workshop aims to discuss what has been done so far in the field and what potential future development areas are feasible.
Speaker:
Wim Lavrijsen(Lawrence Berkeley National Lab. (LBNL))
Slides
12:00 PM
Performance analysis tools20m
Speakers:
Paolo Calafiura(Lawrence Berkeley National Lab. (LBNL)), Roberto Agostino Vitillo(Lawrence Berkeley National Lab. (LBNL)), Wim Lavrijsen(Lawrence Berkeley National Lab. (LBNL))
Slides
12:20 PM
CVMFS20m
Speaker:
Ian Collier(UK Tier1 Centre)
Slides
12:40 PM
→
1:40 PM
Lunch
1h
Cramond Room
Cramond Room
e-Science Institute, Edinburgh
15 South College St, Edinburgh EH8 9AA, UK
1:40 PM
→
3:00 PM
Future IOCramond Room
Cramond Room
e-Science Institute, Edinburgh
15 South College St, Edinburgh EH8 9AA, UK
1:40 PM
non-ROOT I/O30m
Speaker:
Samvel Khalatyan(University of Illinois at Chicago)
Slides
2:10 PM
Remote I/O for users and future of CMS I/O layers.30m
Speaker:
Brian Paul Bockelman(University of Nebraska)
Slides
2:40 PM
Atlas IO improvements and Future prospects20m
Speakers:
Ilija Vukotic(Laboratoire de l'Accelerateur Lineaire (LAL)-Universite de Pari), Wahid Bhimji(University of Edinburgh)
Slides
3:00 PM
→
3:10 PM
Tea
10m
Cramond Room
Cramond Room
e-Science Institute, Edinburgh
15 South College St, Edinburgh EH8 9AA, UK
3:10 PM
→
5:00 PM
GPU/Manycore Applications: Motivation and projectsCramond Room
Cramond Room
e-Science Institute, Edinburgh
15 South College St, Edinburgh EH8 9AA, UK
3:10 PM
Atlas Analysis Model Perspectives20m
Speaker:
Amir Farbin(Department of Physics-University of Texas at Arlington)
Slides
3:30 PM
Implementing parallel algorithms for data analysis in the ROOT/RooFit package20m
Speaker:
DrAlfio Lazzaro(CERN)
Slides
3:50 PM
Experiences on using GPU accelerators for data analysis in ROOT/RooFit package20m